2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)最新文献_第4页

Work-In-Process (Wip) Control by Lean and Agile Manufacturing 精益和敏捷制造的在制品(Wip)控制

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/icfirtp56122.2022.10059427

Mukesh Kumar, Dr. Kamlesh Singh, M. Kannan, Rajiv Kumar, Naveen Rana

{"title":"Work-In-Process (Wip) Control by Lean and Agile Manufacturing","authors":"Mukesh Kumar, Dr. Kamlesh Singh, M. Kannan, Rajiv Kumar, Naveen Rana","doi":"10.1109/icfirtp56122.2022.10059427","DOIUrl":"https://doi.org/10.1109/icfirtp56122.2022.10059427","url":null,"abstract":"To turn into an elite association, the fundamental necessities of any assembling organization are Process duration decrease, lower fabricating cost and insignificant stock. To contend in the computerized, the lean and spry assembling assume an imperative part to elevate the creation cycle. Lean assembling focus on the worth expansion by disposing of the tedious, invalid esteemed processes in the assembling cycle. Spry assembling upholds streamlining, normalization and mechanization of the improvement processes. The motivation behind Lean and light-footed assembling is the consumer loyalty with a practical cost. The job of lean and lithe assembling is fundamental to keep up with the ideal work in process stock in the creation stream. In the current work, the idea of lean and nimble assembling is appliedin the kettle part creation work, where the point is to decide the variables influencing the Work-In-Cycle (WIP) stock levels to satisfy the necessary need for every item. The choice factors are distinguished and their belongings are dissected. The investigation is centered on underlying driver of the issue, key issues related with the frameworks, execution of Kanban, stock expense, reorder point and so forth. The work gives techniques to limit the all out WIP stock across all components of the kettle part.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121188729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Detection and Analysis of Fake News Using Machine Learning 假新闻的机器学习检测与分析

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10063208

Shalini Singh, C. Sharma, S. Agarwal, Umang Garg, Neha Gupta

{"title":"The Detection and Analysis of Fake News Using Machine Learning","authors":"Shalini Singh, C. Sharma, S. Agarwal, Umang Garg, Neha Gupta","doi":"10.1109/ICFIRTP56122.2022.10063208","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10063208","url":null,"abstract":"Social media has become one of the hotbeds for the dissemination of fake news in the market. Although, the role of social media is very important for the campaign, broadcaster of any news, and trend formulation. However, it may be the reason for the dissemination of fake news and bring negative impactual results on society and individuals. Even some significant impacts on election campaigns, politics, trend settings, and marketing agencies can be executed using social media. So the detection of fake news is one of the most perpetual ways to set the right trend in the market. Traditional methods with manual filtering are not feasible for the detection of fake news effectively. Although, there are several techniques used to detect fake news such as data mining, natural language processing, social network analysis, and machine learning algorithms. In this paper, the focus is to detect false news using distinctive machine learning algorithms. The model is trained and tested of the data-set available freely as an open-source. The positive prediction rate is very high in the ROC curve indicates the prediction of fake news effectively. Our experiment indicates the high accuracy with the support vector machine classifier algorithm.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124369467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Evaluation of Sentiment Analysis Techniques, Processes and Challenges 情感分析技术，过程和挑战的评估

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059420

Er. Vishal Vig, Vivek Kumar, Er. Mohita Trehan, Er. Rishi Sharma

引用次数: 0

Face mask detection using transfer learning and OpenCV in live videos 在直播视频中使用迁移学习和OpenCV进行面罩检测

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059441

Himanshu Gupta, Chandni Sharma

引用次数: 1

A Machine Learning Model to Predict Student Academics Course Interest 预测学生学术课程兴趣的机器学习模型

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059414

K. Pal, Chunnu Lal, Abhishant Sharma

{"title":"A Machine Learning Model to Predict Student Academics Course Interest","authors":"K. Pal, Chunnu Lal, Abhishant Sharma","doi":"10.1109/ICFIRTP56122.2022.10059414","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10059414","url":null,"abstract":"In the present study, we have put forth a machine learning classifier-based model for predicting if a student’s academic course interest is appropriate. Our demands are growing and have no boundaries as a result of the impending arrival of modern technologies. A lot of research is being done today in the area of data classification and prediction. The rate of progression has always increased and has been exponential. In the modern era, data processing is one of the most important and diverse fields of study, and it has a wide range of applications. We all understand that machine learning will be replaced by AI in the future. An important component of it is deep learning. Data classification in many classes is the most common type. Therefore, we trained a machine learning classifier using current data and a variety of recommended methods and algorithms based on various variables. Researchers are working to increase the accuracy of Students predictions based on abilities that are evaluated using a variety of criteria. In order to determine which model is ideal for categorizing the data, we looked through the numerous options. To determine the optimal model, we compare the various output parameters as well.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132267076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stock Market Prediction Using Deep Learning 利用深度学习进行股票市场预测

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059433

Surendra Kumar Shukla, Kireet Joshi, Gagan Deep Singh, Ankur Dumka

{"title":"Stock Market Prediction Using Deep Learning","authors":"Surendra Kumar Shukla, Kireet Joshi, Gagan Deep Singh, Ankur Dumka","doi":"10.1109/ICFIRTP56122.2022.10059433","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10059433","url":null,"abstract":"World's economy is driven by the stock market. Investors want to gain a reasonable profit by putting their valuable wealth in suitable stocks thus residing in a secure and win-win situation. Stock market movement is a critical concern which decides the profit or loss for the customers. Fundamental behind market movement is identified as time series. Thus, time series prediction could insist investors to design a suitable strategy during the investments to overcome the risk of erroneous investments. Therefore, a LSTM based model which works with the principle of time series has been adopted in this research work to predict stock prices. Furthermore, recurrent oriented Short-Term Long Memory (LSTM) algorithm has been developed and is employed for predicting the stock price of a company based on the historical prices available. And, next 30 days stocks were predicted. The proposed algorithm is verified with the Apple stock data (AAPL). The obtained results are analyzed through training RMSE (root mean squared error) and the test RMSE. Compared to the related stock prediction approaches, the proposed LSTM based algorithm performs better than its counterparts and shows definite accuracy in predicting the stock prices.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122571486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ICFIRTP 2022 Cover Page ICFIRTP 2022封面

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/icfirtp56122.2022.10059455

引用次数: 0

Efficient Allocation of Bandwidth & Congestion Avoidance during Data Flow 数据流中带宽的有效分配与拥塞避免

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059436

Y.N. Prajapati, Pranob Adhikari

引用次数: 0

Sentiment Analysis on Amazon Dataset using Transfer learning 基于迁移学习的亚马逊数据集情感分析

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059413

Pundreekaksha Sharma, Pritosh Tomar, Debajyoti Mukherjee

{"title":"Sentiment Analysis on Amazon Dataset using Transfer learning","authors":"Pundreekaksha Sharma, Pritosh Tomar, Debajyoti Mukherjee","doi":"10.1109/ICFIRTP56122.2022.10059413","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10059413","url":null,"abstract":"In this paper, we have proposed several Machine Learning, Deep Learning and Transfer Learning model which is totally based upon new cutting-edge technology i.e., Sentiment analysis. With the continuous growth in the technology field Artificial Intelligence is on its way to change the motive of technology. So, this project is not only applicable for the above-mentioned dataset but it’s applicable for every dataset which consists of customer review. We all know that after the corona wave every market is switching into Online mode. There are a numerous number of website or company that are using customer sentiment technique to get the insight about their thought for particular product. In our project we use Classification technique to identify whether the sentiment for the particular product is positive or negative. So, based upon the existing dataset we follow the proper NLP pipeline so that we can extract all the features and get a clean dataset. ML and DL has huge algorithm support so using different classification algorithm we apply the NLP vectorization technique. Above all we also apply transfer learning model that is built on the top of Deep Learning model, which enhance the accuracy of the model because it’s developed on pre-built model. The ultimate goal for a developer is to get best accuracy, precision, recall and F1 Score. So, judging on the above-mentioned parameter and on behalf of industrial sight we compare different model and try to prove which model is the best model for this particular task.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129997290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Review Paper on IDS in Edge Computing or EoT 边缘计算或EoT中的IDS研究综述

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059442

Reshoo Devi, Amit Kumar, Vivek Kumar, Ashish Saini, Amrita Kumari, Vipin Kumar

{"title":"A Review Paper on IDS in Edge Computing or EoT","authors":"Reshoo Devi, Amit Kumar, Vivek Kumar, Ashish Saini, Amrita Kumari, Vipin Kumar","doi":"10.1109/ICFIRTP56122.2022.10059442","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10059442","url":null,"abstract":"The main intention of edge computing is to improve network performance by storing and computing data at the edge of the network near the end user. However, its rapid development largely ignores security threats in large-scale computing platforms and their capable applications. Therefore, Security and privacy are crucial need for edge computing and edge computing based environment. Security vulnerabilities in edge computing systems lead to security threats affecting edge computing networks. Therefore, there is a basic need for an intrusion detection system (IDS) designed for edge computing to mitigate security attacks. Due to recent attacks, traditional algorithms may not be possibility for edge computing. This article outlines the latest IDS designed for edge computing and focuses on the corresponding methods, functions and mechanisms. This review also provides deep understanding of emerging security attacks in edge computing. This article proves that although the design and implementation of edge computing IDS have been studied previously, the development of efficient, reliable and powerful IDS for edge computing systems is still a crucial task. At the end of the review, the IDS developed will be introduced as a future prospect.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123773061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1